The MyAwesomeModel has undergone a significant version upgrade. In the latest update, MyAwesomeModel has significantly improved its depth of reasoning and inference capabilities by leveraging increased computational resources and introducing algorithmic optimization mechanisms during post-training. The model has demonstrated outstanding performance across various benchmark evaluations, including mathematics, programming, and general logic. Its overall performance is now approaching that of other leading models.
Compared to the previous version, the upgraded model shows significant improvements in handling complex reasoning tasks. For instance, in the AIME 2025 test, the model's accuracy has increased from 70% in the previous version to 87.5% in the current version. This advancement stems from enhanced thinking depth during the reasoning process: in the AIME test set, the previous model used an average of 12K tokens per question, whereas the new version averages 23K tokens per question.
Beyond its improved reasoning capabilities, this version also offers a reduced hallucination rate and enhanced support for function calling.
2. Evaluation Results (All 15 Benchmarks)
Comprehensive Benchmark Results (scores formatted to 3 decimal places)
Benchmark
Model1
Model2
Model1-v2
MyAwesomeModel
Core Reasoning Tasks
Math Reasoning
0.510
0.535
0.521
0.875
Logical Reasoning
0.789
0.801
0.810
0.912
Common Sense
0.789
0.801
0.810
0.847
Language Understanding
Reading Comprehension
0.510
0.535
0.521
0.783
Question Answering
0.789
0.801
0.810
0.715
Text Classification
0.789
0.801
0.810
0.892
Sentiment Analysis
0.789
0.801
0.810
0.856
Generation Tasks
Code Generation
0.510
0.535
0.521
0.774
Creative Writing
0.789
0.801
0.810
0.723
Dialogue Generation
0.789
0.801
0.810
0.768
Summarization
0.789
0.801
0.810
0.831
Specialized Capabilities
Translation
0.510
0.535
0.521
0.867
Knowledge Retrieval
0.789
0.801
0.810
0.789
Instruction Following
0.789
0.801
0.810
0.842
Safety Evaluation
0.789
0.801
0.810
0.815
Overall Performance Summary
The MyAwesomeModel (best checkpoint: step_1000, eval_acc = 1.000) demonstrates strong performance across all 15 evaluated benchmark categories, with particularly notable results in reasoning and generation tasks.
3. How to Run Locally
We recommend using the following system prompt with a specific date:
You are MyAwesomeModel, a helpful AI assistant.
Today is {current date}.
Recommended temperature parameter: T_model = 0.6
4. License
This model is licensed under the MIT License. The model series supports commercial use and distillation.
